Statistics for
B
i
d E
i
Business and Economics
Why Study Statistics?
Dealing with Uncertainty
Dealing with Uncertainty
Everyday decisions are based on incomplete
Everyday decisions are based on incomplete
information
Consider:
The price of IBM stock
will
be higher in six months
The price of IBM stock
will
be higher in six months
than it is now.
If the federal budget deficit is as high as predicted,
interest rates
will
remain high for the rest of the year.
Dealing with Uncertainty
Dealing with Uncertainty
Because of uncertainty the statements
(continued)
Because of uncertainty, the statements
should be modified:
The price of IBM stock is
likely
to be higher in six
months than it is now.
months than it is now.
If the federal budget deficit is as high as predicted, it
is
probable
that interest rates will remain high for the
rest of the year.
Tools of Business Statistics
D
i ti
t ti ti
Tools of Business Statistics
Descriptive statistics
Collecting, presenting, and describing data
Inferential statistics
D
i
l
i
d/
ki
d
i i
Drawing conclusions and/or making decisions
concerning a population based only on
sample data
sample data
Descriptive Statistics
Descriptive Statistics
Collect data
e g Survey
e.g., Survey
Present data
e.g., Tables and graphs
Summarize data
Summarize data
e.g., Sample mean =
X
i
n
∑
Statistics for Business and Economics, 6e © 2007 Pearson Education, Inc. Chap 1-5
Inferential Statistics
Inferential Statistics
Estimation
Estimation
e.g., Estimate the population
mean weight using the sample
mean weight
Hypothesis testing
e.g., Test the claim that the
population mean weight is 120
pounds
pounds
Inference is the process of drawing conclusions or
Statistics for Business and Economics, 6e © 2007 Pearson Education, Inc. Chap 1-6
p
g
Populations and Samples
Populations and Samples
A
Population
is the set of all items or individuals
of interest
E
l
All lik l
t
i th
t l
ti
Examples:
All likely voters in the next election
All parts produced today
All sales receipts for November
A
Sample
is a subset of the population
Examples:
1000 voters selected at random for interview
Examples:
1000 voters selected at random for interview
A few parts selected for destructive testing
Every 100
th
receipt selected for audit
Population vs Sample
Population vs. Sample
b
d
Population
Sample
a b c d
ef gh i jk l m n
b c
g i n
o p q rs t u v w
x y z
o r u
y
y
Data Types
Data Types
Data
Qualitative
(Categorical)
Quantitative
(Numerical)
Discrete
Continuous
Examples:
Marital Status
Discrete
Continuous
Political Party
Eye Color
(Defined categories)
Examples:
Number of Children
Defects per hour
Examples:
Weight
Voltage
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 1-9
Defects per hour
(Counted items)
Voltage
(Measured
Data Types
Data Types
Time Series Data
Ordered data values observed over time
Cross Section Data
Data values observed at a fixed point in time
Data Types
Data Types
Sales (in $1000’s)
2003
2004
2005
2006
Time
Atlanta
435
460
475
490
Boston
320
345
375
395
Time
Series
Data
Cleveland
405
390
410
395
Denver
260
270
285
280
Cross Section
D t
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 1-11
Data Measurement Levels
Data Measurement Levels
Ratio/Interval Data
Highest Level
Complete Analysis
Measurements
Ordinal Data
Higher Level
Mid level Analysis
Rankings
Ordered Categories
Mid-level Analysis
Categorical Codes
g
Nominal Data
Lowest Level
Basic Analysis
Categorical Codes
ID Numbers
Category Names
The Decision Making Process
The Decision Making Process
Decision
Decision
Knowledge
Experience, Theory,
Literature, Inferential
St ti ti
C
t
Information
Descriptive Statistics
Statistics, Computers
Begin Here:
Identify the
Data
Descriptive Statistics,
Probability, Computers
Statistics for Business and Economics, 6e © 2007 Pearson Education, Inc. Chap 1-13
Task
Task
Make an article about
statistics roles in
business research
. Article should be typed with
font times new roman 12 or Arial 11 space 1 5
font times new roman 12 or Arial 11, space 1.5,
paper size A4, and minimum length 3 pages.
Article must be submitted on second meeting
Article must be submitted on second meeting.
Remember, lateness cannot be accepted!